Code for Al $\ell_0$ core

John Hood and Aaron Schein, University of Chicago

Source code for "The Al $\ell_0$ core Tensor Decomposition for Sparse Count Data", presented at AISTATS 2024.

https://arxiv.org/abs/2403.06153

What's included in src:

• allocore.py: Python interface for running julia implementation of al $\ell_0$ core.
• allocore.jl: Juli al $\ell_0$ core implementation.
• utils.jl: Sampling functions and support for allocore.jl.
• allocore_tutorial.ipynb: Demo fitting an all $\ell_0$ core model to toy data in python.

What's included in class_figs:

• component_(class number).pdf: stem plot representation of the corresponding inferred latent class from the qualitative experiment in the paper.

Dependencies:

Julia:

• JLD
• Distributions
• LinearAlgebra
• Random
• StatsFuns
• StatsBase

Python:

• numpy
• scipy
• pandas
• matplotlib
• seaborn
• pyjulia